Paper Info
Title
On convolution model for ultrasound echo signal processing
Abstract
Systematic ultrasound signal processing and imaging require a model for the ultrasound echo signal so to extract the tissue information for image construction. Based on careful studies of the classical ultrasound acoustics and traditional convolution model and taking into account the echo effects arising from anatomical tissue properties, this paper proposes a new convolution model for the ultrasound pulse-echo process, which presents dominant terms under common practically feasible conditions of medical ultrasound. The proposed convolution model can provide an effective means for processing ultrasound echo signals and constructing images.
Year
DOI
Venue
2012
10.1109/BHI.2012.6211587
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics
Keywords
Field
DocType
Convolution,Modeling,Signal processing,Ultrasound Imaging
Iterative reconstruction,Aperture,Transducer,Signal processing,Computer vision,Convolution,Computer science,Bioacoustics,Feature extraction,Artificial intelligence,Acoustics,Ultrasound
Conference
ISSN
ISBN
Citations 
2168-2194
978-1-4577-2176-2
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
I-Ming Chen156787.28
Cishen Zhang277468.79